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money_supply.py
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money_supply.py
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# -*- coding: utf-8 -*-
"""
@Project Name macro_economic
@File Name: money_supply
@Software: PyCharm
@Time: 2018/6/9 14:19
@Author: taosheng
@contact: [email protected]
@version: 1.0
@Description:
"""
import datetime
import numpy as np
import pandas as pd
import tushare as ts
import matplotlib.pyplot as plt
np.set_printoptions(threshold=2000, linewidth=1000) # default 1000 default 75
pd.set_option('display.width', 1000) # default is 80
if __name__ == "__main__":
ms = ts.get_money_supply()
"""
货币供应量
month :统计时间
m2 :货币和准货币（广义货币M2）(亿元)
m2_yoy:货币和准货币（广义货币M2）同比增长(%)
m1:货币(狭义货币M1)(亿元)
m1_yoy:货币(狭义货币M1)同比增长(%)
m0:流通中现金(M0)(亿元)
m0_yoy:流通中现金(M0)同比增长(%)
cd:活期存款(亿元)
cd_yoy:活期存款同比增长(%)
qm:准货币(亿元)
qm_yoy:准货币同比增长(%)
ftd:定期存款(亿元)
ftd_yoy:定期存款同比增长(%)
sd:储蓄存款(亿元)
sd_yoy:储蓄存款同比增长(%)
rests:其他存款(亿元)
rests_yoy:其他存款同比增长(%)
"""
# print(ms)
# ms["month"] = ms["month"].apply(lambda s: datetime.datetime.strptime(s, '%Y.%m'))
ms["month"] = pd.to_datetime(ms["month"])
ms = ms.set_index("month")
ms = ms.replace("--", np.nan)
ms = ms.astype(np.float64)
ms = ms.iloc[::-1, :]
print(ms)
# ax = ms.plot(grid=True, title="money supply")
ax = ms[["m2","m1","m0","cd","qm","ftd","sd","rests"]].plot(grid=True, title="money supply")
# ax = ms[["m2_yoy","m1_yoy","m0_yoy","cd_yoy","qm_yoy","ftd_yoy","sd_yoy","rests_yoy"]].plot(grid=True, title="money supply")
ax.grid(True)
# plt.show()
####################################################################################################################
msb = ts.get_money_supply_bal()
"""
货币供应量(年底余额)
year :统计年度
m2 :货币和准货币(亿元)
m1:货币(亿元)
m0:流通中现金(亿元)
cd:活期存款(亿元)
qm:准货币(亿元)
ftd:定期存款(亿元)
sd:储蓄存款(亿元)
rests:其他存款(亿元)
"""
# print(msb)
msb["year"] = pd.to_datetime(msb["year"])
msb = msb.set_index("year")
msb = msb.replace("--", np.nan)
msb = msb.astype(np.float64)
msb = msb.iloc[::-1, :]
print(msb)
msb.plot(grid=True, title="money supply balance")
ax.grid(True)
plt.show()